Name
Abstract | ||
|---|---|---|
This paper presents a technique for performance optimization of multimodal interactive web-based medical simulation. A web-based simulation framework is promising for easy access and wide dissemination of medical simulation. However, the real-time performance of the simulation highly depends on hardware capability on the client side. Providing consistent simulation in different hardware is critical for reliable medical simulation. This paper proposes a non-linear mixed integer programming model to optimize the performance of visualization and physics computation while considering hardware capability and application specific constraints. The optimization model identifies and parameterizes the rendering and computing capabilities of the client hardware using an exploratory proxy code. The parameters are utilized to determine the optimized simulation conditions including texture sizes, mesh sizes and canvas resolution. The test results show that the optimization model not only achieves a desired frame per second but also resolves visual artifacts due to low performance hardware. |
Year | Venue | Field |
|---|---|---|
2013 | MMVR | Data mining,Medical simulation,Software engineering,Simulation,Web application,Medicine |
DocType | Volume | ISSN |
Conference | 184 | 0926-9630 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tansel Halic | 1 | 82 | 13.71 |
| Woojin Ahn | 2 | 20 | 10.02 |
| Suvranu De | 3 | 219 | 34.31 |